2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
VideoSEMA: a scalable and efficient Mamba-like attention for video understanding
Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4
We present for video understanding (classification) a split space-time attention model, VideoSEMA, consisting of a scalable and efficient Mamba-like attention (SEMA) block in space…
USEMA: a Scalable Efficient Mamba Like Attention for Medical Image Segmentation
Elisha Dayag, Nhat Thanh Tran, Jack Xin
Accurate medical image segmentation is an integral part of the medical image analysis pipeline that requires the ability to merge local and global information. While vision transfo…
Deep Image Prior with L0 Gradient Regularizer for Image Smoothing
Nhat Thanh Tran, Kevin Bui, Jack Xin
Image smoothing is a fundamental image processing operation that preserves the underlying structure, such as strong edges and contours, and removes minor details and textures in an…
SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging
Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4
Attention is the critical component of a transformer. Yet the quadratic computational complexity of vanilla full attention in the input size and the inability of its linear attenti…